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  1. There is a quick little trick to do this by combining two formulas together $signal.tocondition().tosignal() What this formula does is create a condition .tocondition() where each capsule starts when the value in your ID signal changes (eliminating duplicate values) and then transforms those capsules back into a signal using .tosignal() Let me know if this example helps solve your question
    2 points
  2. We have had a couple of users ask for a method to create a table of timestamps and values for each of the samples in a signal. Below is a quick method to create such a table using the new features available in versions R53+ This method in general makes the most sense for finding the timestamps of discrete points but could be used for signal Step 1: Create a condition with a capsule for every sample point $signal.toCapsules() Step 2: Move to the table view and select the "Condition" option The general settings you are going to want to pick are Condition mode Headers = Start Time Columns Capsule Property = Value Final Product:
    1 point
  3. Hi Allison, Above is usually the method that we use to remove outliers for datasets. Also, sometimes we use z-scores. I am new here and I actually registered just to ask this question. In Seeq, there is a function called removeOutliers() with several parameters. How does this function work exactly and how does it compare in performance in detecting outliers with the above method? I tried to search in the knowledge-base for any information about it but I couldn't find anything. When I tested it at some Example signals, I noticed that it sometimes removes parts of the signal that are in the middle (not upper or lower) which is very strange (see below attachment). I'd appreciate feedback from your side or anyone else in the community. Regards, Ahmed
    1 point
  4. Hey Abby, I was able to reproduce your issue, and it seems it is due to the way Seeq creates the Step trend, it is placing two values at each point in time a new value occurs to create the stepped transition. I was able to fix this by using Formula to create two new signals which are discrete. $x.toDiscrete() I still used the original stepped values to create the In Range/Out of Range conditions, but used the discrete values to display on the scatter plot. My limits are 0 - 4 for Y and 40 - 50 for X. Here's the before and after. Hope this helps, Andrew BEFORE AFTER
    1 point
  5. Please can the default labels be set to show the UOM on the y-Axis, it is a little frustrating to set that every time and it is good engineering practise to always show the UOM on the axis.
    1 point
  6. The ability to remove individual cursors is available starting in Seeq version 22.0.46.
    1 point
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